arrow
Return

Consensus and multi-consensus for discrete-time LTI systems☆

delete2024-08-01
delete0
delete
OA
AI
F
Filippo Cacace
M
Mattia Mattioni *
S
S. Monaco
D
D. Normand‐Cyrot
DOI:10.1016/j.automatica.2024.111718delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Existing consensus control algorithms for networked discrete-time linear systems have slow convergence to consensus trajectories due to limitations on the magnitude of the consensus gain. In this work we propose and analyze a new predictor-based consensus control protocol that recovers the positive features of the continuous-time counterpart in terms of arbitrary rate of convergence to the consensus dynamics. Moreover, it admits a distributed implementation based on multiple consensus steps. Our analysis concerns general weakly connected digraphs and it encompasses both single and multiple consensus. (c) 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:
Multi -agent systems
Multi -consensus
Decentralization
Digital implementation
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Automatica cover
Automatica
IF:
5.9
Papers:
1.2W
Citations:
5.2W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
U
university campus bio-medico - rome italy
Scholars:
6.0K
Papers: 4.6K
Citations: 4
S
sapienza university rome
Scholars:
6.3W
Papers: 4.7W
Citations: 381
researcher View more organizations